This qualitative research was undertaken within a mixed methods study that developed and tested tools to improve the availability, quality, and use of newborn and stillbirth indicators in Routine Health Information Systems (RHIS); the Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools. 

The transcripts are from 79 in-depth interviews in Bangladesh (n=44, 1st Sept-21st Dec 2020) and Tanzania (n=35, 21st Feb- 30th April 2023) using a semi-structured interview guide. The guide was adapted from the 'Assessing Barriers to Data Demand and Use in the Health Sector' tool (Measure Evaluation, 2018). 

In Bangladesh, district and facility-level participants were selected from both Directorates (DGFP and DGHS) in Kushtia district. The sampling frame included district-level offices (2), Upazilla-level office (1), district hospitals (2), Upazilla health complexes (5), Union sub-centres (3), community clinics (2). In addition to national-level offices (2) for DGFP and DGHS. 

In Tanzania, district and facility-level participants were selected from two districts in Tanga Region: the sampling frame included district-level offices (2), hospitals (2), health centres (4), and dispensaries (4). As well as the regional and national offices (2).